Research Associate in Disease Modelling: An exceptional opportunity for a Research Associate to contribute to ground-breaking research in malaria control strategies. Join the Transmission Zero program to pioneer innovative genetic vector control tools aimed at combatting malaria transmission in sub-Saharan Africa and beyond.
Job Title: Research Associate in Disease Modelling
Reference Number: NAT01741
Faculty / Department: Faculty of Natural Sciences
Salary: £46,593 – £54,630 per annum
Location / Campus: South Kensington Campus – On site only
Contract Type / Work Pattern: Full time – Fixed term
Closing Date: 20-Jun-2024
Summary Table:
Title | Research Associate in Disease Modelling |
---|---|
Reference No. | NAT01741 |
Department | Faculty of Natural Sciences |
Salary | £46,593 – £54,630 per annum |
Location | South Kensington Campus – On site only |
Contract Type | Full time – Fixed term |
Closing Date | 20-Jun-2024 |
Designation: Research Associate
Research Area: Disease Modelling
Location: South Kensington Campus, On site only
Eligibility/Qualification:
- Hold, or be near completion of, a PhD in Computer Science or a relevant STEM subject (e.g. quantitative epidemiology, biology) or a closely related discipline, or equivalent research, industrial, or commercial experience.
- Practical experience of working within a highly competitive research environment.
- High level of expertise and experience in at least one programming language are essential.
Job Description:
- Design and perform computational simulations to generate high-quality, publication-worthy data contributing to the advancement of the scientific program.
- Contribute to the development of the EMOD modelling framework and its gene drive module.
- Calibrate ecological and epidemiological models using location-specific data.
- Provide modelling input to field trial design and risk assessments.
How to Apply:
Submit your application online through the Imperial College London job portal. Include a cover letter, CV, and contact information for two referees.
Last Date for Apply:
20th June 2024
For further information, contact: Dr Nikolai Windbichler, n.windbichler@imperial.ac.uk
Professor George Christophides, g.christophides@imperial.ac.uk